Innovative Projects Realized

Coupling the liquid pool and wellbore hydraulic module of the “Prediction and Optimization Software Package” – Part 3

In the last decade optimization is expanded in many applications from food production to sophisticated applications such as engine fuel efficiency. In the proposed package, it is tried to apply optimization techniques along with physics based analytical and semi-analytical methodologies to create a compelling framework which can help thermal-process based oil industry to reduce their GHG and also better evaluate their CAPEX. Many SAGD projects are overspent on their facilities due to under prediction or overprediction of their oil production expectations. this package will help operators to predict their expectations and improve their predictions as more inputs are provided such 4D seismic, temperature and pressure observation wells, production data, and geological characterization.

Low-cost Machine Type Communication User Equipments for LTE.

Machine-to-machine (M2M) devices are defined as the equipments which do not require a direct human interaction for communicating to each other. M2M networks are predicted to have a large end-user market in the near future with numerous potential applications, such as home automation, patient monitoring, transportation, and smart metering. Currently, the main bottleneck is to reduce the overall cost of these equipments in order to enable a practical implementation of densely-deployed M2M networks which can cover an area of interest and, for example, connect different regions of a city. The proposed research will be part of Sierra

Wireless’ ongoing activities to develop such low-cost machine-type communication devices compliant with the long-term evolution (LTE) communications standard.

Dual Crankshaft Actuation System for Robotic Legs

The aim of this project is optimize and experiment with a type of actuation for a robotic leg where all the motors are attached to the body and their powers transmitted to the joints of the leg witn a dual crankshaft mechanism. This mechanism is envisioned as a possible alternative for one of our walking machine.The intern will be in charge of implementing the kinematic, static, and possibly dynamic (if needed) equations modeling the mechanism. Then, simulations and optimizations will be conducted. If the results appear promising, a prototype will be manufactured and experimented with.

Additive Manufacturing of Reinforced-polymer Composites

Additive manufacturing, or three-dimensional (3D) printing, of composites is a grouping of different shaping processes that allows the fabrication of structures through robotic deposition of material by means of a computer model. This technology is a very promising avenue for the implementation of many mechanical and aerospace systems. The research team focuses on the development of advanced composite materials offering multiple functionalities (where multiple properties are desired for a given application) for additive manufacturing (e.g., FDM, SLA, solvant assisted, extrusion-based). The research team innovates with freeform, multi-material and multi-functional printing of complex mechanical/aerospace systems.

Payload Transport with Drones

The Mobile Robotics and Autonomous Systems Laboratory of Polytechnique Montréal is specialized in drone development and applications. The intern will join the team in charge of developing a payload transport system with drones. IN this research work we will develop a simulation environment, validate the different control strategies in the simulation environment and implement the controllers on the drones.

Development of novel therapeutics for multidrug-resistant bacterial pathogens by targeting indel-containing essential proteins

Multidrug-resistant (MDR) bacterial pathogens are ubiquitous in hospitals and community settings. New antibiotics against unexploited targets are urgently needed to better control such infections. The proposed research aims to identify novel, drug targets and therapeutics for antibiotic-resistant nosocomial pathogens, capitalizing on a proprietary indel-targeting approach that takes advantage of structural differences between homologous essential human and pathogen proteins. The nominee will help identify inhibitors for two of Indel Therapeutics’ microbial drug discovery programs through a number of biochemical and biological assays aimed at identifying the most potent and selective inhibitors for the development of potential antimicrobials for the treatment of multidrug-resistant pathogens. The participation of the intern in the Company’s drug discovery efforts will accelerate the Company’s milestones and increase its internal resources towards higher priority advanced projects. Longer term, the research will lead to the creation of novel classes of…TOBECONTINUED

Modélisation, caractérisation et simulation de systèmes embarqués de conduite automatisée dans les autobus intelligents et leurs applications à la détection, la reconnaissance et la poursuite d’obstacles

Au cours des cinq dernières années, les systèmes de perception embarqués dans les véhicules intelligents deviennent moins dispendieux et donc plus populaires pour les applications de conduite automatisée. Ils permettent à la fois de détecter les obstacles, d’estimer leur distance relative par rapport au véhicule, de les classer et de suivre leur déplacement relatif en temps réel. Le projet proposé ici porte sur trois volets exploratoires et complémentaires d’intérêt pour Nova Bus Volvo : 1) Construction d’une plateforme de développement des fonctions de perception pour la conduite autonome de bus et le développement d’un prototype multi-capteurs pour l’acquisition de données réelles sur les bus de Nova Bus Volvo, 2) La fusion de données multi-capteurs du type lidar, radar et vidéo pour la détection, la classification et la poursuite d’objets en temps réel, 3) L’intelligence artificielle embarquée pour le développement et la simulation des fonctions de perception et de prise de décision dans un bus autonome. Le projet d’une durée de trois ans implique la firme Nova Bus Volvo Inc., une firme à Saint-Eustache, spécialisée dans le développement et la fabrication d’autobus de pointe.

Design and Experiment of a Bipedal Robot

The aim of this research project is to improve the design of one of our robotic leg (see https://youtu.be/2zo5aSJEjhY). This leg is able to mechanically adapt its walking pattern in reaction to a collision without any sensor or high-level control. The objective of this research internship is to update the mechanical design of the leg (reinforcements and stiffeners are needed) and duplicate this revised version to obtain a bipedal robot. Then, a testbed consisting of various simple terrains will be needed to evaluate the efficiency of the resulting robot when traversing these terrains. Experiments will be conducted to collect data about the most efficient walking gaits and robot configuration.

Styrenic Polymers Debromination and Recycling

The current feedstock of en-life high impact polystyrene (HIPS) is currently impossible to be valorized and recycled due the presence of brominated fire retardants (FRs).
The presence of those FR´s is consequence of the need from the electronic industry to compile with the security regulations. However, now those brominated compounds are to be banned due its harmful and hazardousness nature in humans and environment. Thus, a debromination process is required in order to allow HIPS recycling and valorization.

Caractérisation de pastilles supraconductrices dans un champ magnétique rotatif

Le projet de recherche entrepris dans ce stage vise à établir une méthodologie pour caractériser des pastilles supraconductrices en fonction de l’angle d’un champ magnétique appliqué. Avec l’aide du magnétomètre géant du groupe de Philippe Vanderbemden, l’aimantation d’une pastille supraconductrice plongée dans un champ peut être déterminée pour obtenir sa densité de courant critique, une propriété intrinsèque à la structure du matériau. Cette densité de courant critique dicte les propriétés de magnétisation de la pastille et est donc une information cruciale lorsque l’on veut utiliser des supraconducteurs pour des applications. Lors du stage, des mesures du champ magnétique près de la pastille supraconductrice avec le magnétomètre géant seront produites en fonction de l’angle et de l’amplitude du champ appliqué pour l’aimantation afin de caractériser la densité de courant critique de façon générale. Des simulations par la méthode des éléments finis seront produites afin de valider les mesures. Cette caractérisation en profondeur me permettra d’avancer mon projet sur le guidage de nanoparticules magnétiques. La rotation des pastilles supraconductrices est importante pour créer des gradients assez puissants pour guider des particules magnétiques thérapeutiques pour traiter les cancers plus efficacement.

Cooperative Control of Multi-Manipulator Systems

This project aims at investigating the effect of communication constraints on cooperative manipulators. Afterward, the communication constraints will be detailed modeled, based on that the control strategy specifically for the multi-robot system will be developed. The stability of the system under the designed control strategy should be guaranteed, and the performance regarding the execution of the predefined cooperative task should also be assured. Its effectiveness should be verified in both simulations and experiments with the Franka Emika Panda arm. Overall, this work should include theoretical development and experiment evaluations. The final outcome will be presented either in the form of a detailed report or a published paper.

Sectorisation géographique multivariable en pré-optimisation du Problème du Voyageur de Commerce avec fenêtres de temps

Le projet consiste à développer des algorithmes permettant de créer des secteurs pour les clients de Fastercom. Afin d’y parvenir, différentes méthodes de Machine Learning seront évaluées et implémentées. Cette création de secteurs permettra d’améliorer la performance des algorithmes de la compagnie en découpant le gros problème d’optimisation de tournées de véhicules en petits problèmes plus simples. Ensuite ils seront traités l’un après l’autre, au lieu de s’attaquer au gros problème directement. Le gain sur le temps et sur la qualité des solutions obtenues améliorera la satisfaction des clients et réduira leur empreinte écologique en diminuant les trajets non-nécessaires effectués par leurs camions.